Triple
T22498970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ISRG |
E556217
|
entity |
| Predicate | collaboratesWith |
P37
|
FINISHED |
| Object | Cisco |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Cisco | Statement: [ISRG, collaboratesWith, Cisco]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cisco Context triple: [ISRG, collaboratesWith, Cisco]
-
A.
Cisco
Cisco is a central member of the hacker collective fsociety in the television series "Mr. Robot," known for his technical skills and involvement in the group's cyber-activism.
-
B.
Cisco Systems
chosen
Cisco Systems is a multinational technology conglomerate best known for designing and selling networking hardware, software, and telecommunications equipment used worldwide.
-
C.
Juniper Networks
Juniper Networks is a multinational networking and cybersecurity company known for its high-performance routers, switches, and related infrastructure solutions for service providers and enterprises.
-
D.
Arista Networks
Arista Networks is a cloud networking company known for its high-performance data center switches and software-driven network solutions.
-
E.
Cisco Catalyst switches
Cisco Catalyst switches are a family of enterprise-grade network switches from Cisco Systems designed for high-performance, secure, and scalable campus and data center networking.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e11e5445bc8190b6a9481926db3355 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15cb3deb88190874230ae06a352d6 |
completed | April 29, 2026, 1:19 a.m. |
Created at: April 16, 2026, 8:50 p.m.